ANALYSIS OF COVARIANCE IN MIXED MODELS WITH UNEQUAL SUBCLASS NUMBERS

被引：20

作者：

HENDERSON, CR ^{[1
]}

机构：

[1] CORNELL UNIV, DEPT ANIM SCI, ITHACA, NY 14853 USA

来源：

COMMUNICATIONS IN STATISTICS PART A-THEORY AND METHODS | 1979年 / 8卷 / 08期

关键词：

alternative unbiased estimators; approxi-; confounding between covariates and fixed levels of factors; mate tests of hypotheses;

D O I：

10.1080/03610927908827798

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

BLUE of estimable linear functions and exact tests of hypotheses concerning such functions usually do not exist in the covariance model with random factors having unknown variances. This is true even in the equal subclass numbers case. This paper suggests alternative methods for finding linear unbiased estimators and presents methods for computing sampling variances which are linear functions of the unknown parameter variances. Also, higher level covariates are defined and nonestimability problems resulting from association of such covariates with fixed factors are discussed. © 1979, Taylor & Francis Group, LLC. All rights reserved.

引用

页码：751 / 787

页数：37

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